$Φ$-DVAE: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilation

no code implementations • 30 Sep 2022 • Alex Glyn-Davies, Connor Duffin, Ö. Deniz Akyildiz, Mark Girolami

To address these shortcomings, in this paper we develop a physics-informed dynamical variational autoencoder ($\Phi$-DVAE) to embed diverse data streams into time-evolving physical systems described by differential equations.

Uncertainty Quantification